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Evaluation and Classification of Black Soil Structure Degradation in Jilin by Factor Analysis & Dynamic Clustering Analysis

Evaluation and Classification of Black Soil Structure Degrad...

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2011 2nd international conference on Advanced Measurement and Test (AMT 2011)

作者： Niu Cencen Wang Qing Zhang Wen Wang Ke Guo Zhen College of Construction Engineering Jilin University

The black soil in Jilin Province, famous for providing significant amount of commodity grain to entire China, had already begun to regress to disappear on different degrees. To study the structure degradation of black soil in Jilin Province, We used SPSS and matlab programming on data information processing, thirty indexes were chosen, factor analysis on twenty-three samples from different sites and depths in Jilin Province was carried out, and dynamic clustering analysis taking the score of main factor as the variable was performed in turn. Combining them together, as a result, then the degradation mechanism was evaluated and classified. The results showed that eight factors from thirty indexes were found as the principal factors by factor analysis. By dynamic clustering analysis, the areas where twenty-three samples came from could be classified into three types: high degradation, medium degradation and light degradation. Finally, the differences among index scores were analyzed respectively, and reasonable suggested measures to prevent the black soil degradation were stated.

关键词： factor analysis black soil degradation dynamic clustering analysis

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Ensemble Sensitivity Analysis Applied to a Heavy Rainfall Event in Beijing

Ensemble Sensitivity Analysis Applied to a Heavy Rainfall Ev...

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2019 2nd international conference on Sustainable Energy, Environment and Information engineering(SEEIE 2019)

作者： Yunqian Guo Yi Wang Kan Dai Xiaomei Zhang Yueting Shen Chinese Meteorological Administration National Meteorological Center Chinese Meteorological Administration Public Meteorological Service Center Chinese Meteorological Administration Huairou Meteorological Bureau

A high-impact heavy rainfall event occurred in Beijing, China on 16 July 2018, which is a typical warm sector heavy rainfall associated with Mesoscale Convective System（MCS） of multi cells. To clarify the key factors influencing the heavy rainfall, ensemble sensitivity analysis（ESA） is conducted using the state-of-the-art European Centre for Medium-Range Weather Forecasts（ECMWF） ensemble prediction system. The ESA is a new efficient tool utilizing the information contained in ensemble forecast to calculate a linear relationship between a forecast metric and model perturbation variable. Results show that the low-level southwestly moist flow plays a significant role in the heavy rainfall in Beijing which is favorable for abundant water vapor and dynamic lifting.

关键词： ensemble sensitivity analysis heavy rainfall ensemble prediction system

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A Research on Music Therapy Intervention in the Anxiety of Families of Dying Patients

A Research on Music Therapy Intervention in the Anxiety of F...

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2018 2nd international conference on Social sciences, arts and Humanities (SSAH 2018)

作者： Yawei Yu Ning Qu College of Humanities Jiangxi University of Traditional Chinese Medicine

To help the families of dying patients(subjects) reduce their fear and anxiety due to the death of their relatives, enhance their self-concept, promote relaxation, relieve stress and reduce anxiety. On the one hand, the subjects were interviewed to learn about the basic state of psychological crisis. On the other hand, SAS scale was used to evaluate the anxiety state of 30 subjects and randomly divide them into an experimental group and a control group. The means and methods of music therapy were used to intervene in the emotional state of the family members of the dying patients in the experimental group. The results of SAS pre-testing and post testing were statistically analyzed after the experiment. About music therapy intervention in the anxiety of the families of dying patients, the anxiety state of the experimental group is significantly reduced compared with the control group, P <0.05. The use of various forms and functions of music, which can significantly improve the anxiety state of dying patients, is a good intervention means for psychological crisis.

关键词： music family members of dying patients emotional problems

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Onboard autonomous management system of SPARK Earth observation microsatellites 68

Onboard autonomous management system of SPARK Earth observat...

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68th international Astronautical Congress: Unlocking Imagination, Fostering Innovation and Strengthening Security, IAC 2017

作者： Xu, Rui Wang, Hui Xu, Wenming Cui, Pingyuan Feng, Zhun School of Aerospace Engineering Beijing Institute of Technology Beijing100081 China Key Laboratory of Autonomous Navigation and Control for Deep Space Exploration Ministry of Industry and Information Technology Beijing100081 China Shanghai Engineering Center for Microsatellites Shanghai201210 China

ISBN: (纸本)9781510855373

Space remote sensing has played a key role in numerous fields, such as resource exploration, disaster prevention, and environmental protection. Many countries have been attracted to research the Earth observation microsatellite because of its short development period, low cost, and high return. With the increasing number of in-orbit satellites, however, traditional ground management way (TT&C) has caused a heavy workload, and is error-prone and timeconsuming. That makes increasingly urgent demand for the onboard autonomous management ability of satellites. As the onboard resources of microsatellites are extremely limited, the implementation of onboard autonomous management is especially difficult. This paper addresses an onboard autonomous management system for Earth observation microsatellites with double processors. A concurrent CAN bus architecture is designed to avoid affecting original onboard systems. As a node on the CAN bus, the autonomous management system (AMS) runs independently on a single FPGA with extra SRAMs. By transmitting, receiving, and listening, the AMS can communicate with original housekeeping system and other subsystems. For Earth observation microsatellites, the AMS mainly focuses on the autonomous generation of command sequences of observation and data transmission tasks. To satisfy multiple complex constraints and low computational cost, a new dynamic value based heuristic planning (DVHP) method is proposed for the multi-area-target observation of microsatellites. Additionally, an efficient rotational-path decomposition based recursive planning (RDRP) method is adopted for the attitude reorientation under bounded and pointing constraints. The AMS has been successfully applied in two SPARK microsatellites launched on 22 December, 2016, which were developed by the Shanghai engineering Center for Microsatellites. Microsatellite experiment results demonstrate that under very limited onboard computing resources (32MHz processor, 2MB RAM), the A

关键词： Disaster prevention

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Heart Disease Prediction Using Machine Learning

Heart Disease Prediction Using Machine Learning

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artificial Intelligence in Education and Industry 4.0 (IDICAIEI), DMIHER international conference on

作者： Haram Kamal Bakhtawar Muhammad Zunnurain Hussain Muhammad Zulkifl Hasan Muzzamil Mustafa Muhammad Atif Yaqub Hooria Umar Hoor Fatima Usama Nasir Computer Engineering Department Information Technology University Lahore Pakistan Department of Computer Science Bahria University Faculty of Information Technology University of Central Punjab Lahore Department of Artificial Intelligence University of Management & Technology Lahore Department of Computer Science National College of Business Administration and Economics Lahore Pakistan Software Developer Pakistan Bahria University

ISBN: (数字)9798331528713

ISBN: (纸本)9798331528720

The heart plays a pivotal role in the functioning of living organisms, making its diagnosis and prediction of related diseases a matter of utmost importance. Approximately 17.9 million individuals succumb to cardiovascular disease, accounting for 32% of worldwide fatalities. This global concern highlights the importance of early detection, as timely treatment can significantly reduce heart disease-related mortality. Errors in diagnosis can lead to severe consequences, including fatigue or even death. The increasing prevalence of heart-related diseases necessitates the development of precise prediction systems to enhance awareness. Machine learning, a subset of artificial Intelligence (AI), offers robust tools for predicting various events based on patterns learned from natural occurrences. This research paper evaluates the accuracy of machine learning algorithms, specifically k- nearest neighbor, decision tree, linear regression, and support vector machine (SVM), in predicting heart disease. We utilize the UCI repository dataset for training and testing and employ the Python programming language through the Anaconda Jupyter notebook for implementation and the experimental findings indicate an accuracy rate of 95.7% using the heart disease prediction model, leveraging its extensive libraries and header files to ensure accuracy and precision in our analysis.

关键词： Heart Support vector machines Training Accuracy Machine learning algorithms Predictive models Prediction algorithms Reliability Diseases Testing

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Leveraging Predictive Analytics of Age Demographics for Engagement and Revenue Forecasting

Leveraging Predictive Analytics of Age Demographics for Enga...

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Advances in Computation, Communication and Information Technology (ICAICCIT), international conference on

作者： Shaik Ismail Suresh Kumar Natarajan Rajeshwar Voleti Department of Computer Science and Engineering – Data Science JAIN (Deemed-to-be University) Ramangara India

ISBN: (数字)9798331541217

ISBN: (纸本)9798331541224

This Research introduces a data-driven approach utilizing machine learning to predict income based on age. Leveraging the Python programming language and libraries such as pandas and sci-kit-learn, the model employs a Gradient Boosting Classifier, Random Forest Classifier, XGBoost Classifier, Support Vector Classifier and Neural Network Classifier. to discern patterns from a provided dataset. The dataset, representative of individual age-income relationships, is split into training and testing subsets to facilitate model validation. Employing hyperparameter tuning, the Random Forest Regressor is trained on the training subset to optimize predictive accuracy. User interaction is integrated, allowing for age input for real-time income prediction. The model’s performance is assessed using an evaluation metric. This research demonstrates the feasibility of employing machine learning techniques for predicting income based on demographic attributes, with potential applications in financial planning and market analysis.] This paper introduces a novel method using machine learning to predict website engagement based on user age. Implemented in Python with NumPy for efficient array operations, the algorithm prompts users to input their age, validating it within 18 to 64 years. Error handling ensures data integrity. The system encapsulates the age input in a NumPy array, feeding it into a pre-trained model to predict website engagement time. The model leverages prior training data to make predictions, providing valuable insights into user behaviour. It gracefully handles age inputs outside the dataset’s range, acknowledging model limitations. Future work may refine the model with additional features for improved accuracy. Overall, this methodology demonstrates machine learning’s efficiency with $\mathbf{9 6 \%} \%$ accuracy in predicting user behaviour based on demographic attributes, with potential applications in web design and content optimization.

关键词： Training Accuracy Web design Training data Predictive models Vectors Arrays Random forests Tuning Python

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Design and application of occupation exposure declaration and monitoring information system for medical staff

Design and application of occupation exposure declaration an...

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2017 2nd international conference on Materials science,Machinery and Energy engineering(MSMEE 2017)

作者： Xiaofei Zhang Lingli Dai Lu Ren Siyuan Tang Xiangya Nursing School Central South University the Second Hospital of Hebei Medical University the Third Xiangya Hospital of Central South University

Objective: To register, classify, evaluate and monitor occupational exposure of the medical staff timely and accurately, improve the efficiency of the occupational exposure declaration and monitoring, so as to minimize the incidence and injury of occupational exposure and guarantee the safety and occupational health of the medical staff, this study attempts to develop and design an occupational exposure declaration and monitoring system software for medical staff with multiple functions and convenient for users, which will be the beneficial supplement of Hospital Information system(HIS). Methods: Through investigation and documents research, we try to comprehend the procedure of occupational exposure declaration and monitoring, determine the system function demand, and construct a three-layer structure system based on B/S structure model. The whole system is divided into interface layer, function layer and data layer. The overall design technology includes the code of c # programming language, the software platform of Visual Studio 2008, the development tools of *** script technology and the database services of SQL Server relational database management system. Results: This system has 6 function modules, including the declaration module, the query and statistical module, the maintaining module, the evaluation and monitoring module, etc. The declaration module of the system can be used effectively in registration, report of occupational exposure accidents and also provide query and statistical functions. The evaluation and monitoring module can assess the severity level of the exposure automatically according to the further inspection, then provide preventive treatments or measures based on the evaluation results, as well as monitor automatically whether the patient has the symptoms of blood-borne acute infectious diseases. At the same time, this module cane effectively monitors the serological results of the infectious diseases in different periods after exposu

关键词： occupational exposure declaration and monitoring information system

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A Schema Study on "Yunnan Miao" Drawings in the Qing Dynasty

A Schema Study on "Yunnan Miao" Drawings in the Qing Dynasty

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2018 2nd EBMEI international conference on Humanity and Social science (EBMEI-HSS 2018)

作者： Wei Wang Academy of Arts & Design Tsinghua University

In this paper, the "Portraits of Periodical Offering in Qing Dynasty" and different versions of drawings of "Yunnan Miao" gradually derived under its influence of "Portraits of Periodical Offering in Qing Dynasty"(referred to as "Bai Miao Tu" and the "The schema of Yi people in Yunnan Province" and other types of drawings) are combed and interpreted to analyze and excavate a series of drawings of "Yunnan Miao" that have long been marginalized and rarely discussed in the art history of the Qing Dynasty. The schema of "Yunnan Miao" was also integrated into common people by the "Portraits of Periodical Offering" supervised by the imperial family, and it became "Bai Miao Tu" and "Yi people Tu" that recorded the customs of ethnic minorities. The composition was composed of a man and a woman without background in the "Portraits of Periodical Offering in Qing Dynasty", and then gradually became the description of the specific life scenes such as landscapes, props, and scenes. The characters are juxtaposed, lively, and rich in scenes. Different versions have different charms. Under comparative research, it is quite rewarding. In addition, the Bamboo Stick Ci prosperous with the "Barbarian" drawings in the Qing Dynasty also appeared in the inscriptions of the drawings. They share a common trend, and the relationship between them is also worthy of further in-depth research. This study presents the introduction to these parts. And the origin and its standard of "Yunnan Miao" drawings are proposed, laying a foundation for further research.

关键词： "Portraits of periodical offering in Qing Dynasty" "Bai Miao Tu" "The schema of Yi people in Yunnan Province" Bamboo Stick Ci

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Design and Implementation of a Network Teaching Platform for Remote Education

Design and Implementation of a Network Teaching Platform for...

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international conference on Consumer Electronics, Communications and Networks

作者： Ting Luo Fuxiang Gao College of Information Science and Engineering Northeastern University

ISBN: (纸本)9781457714146

In order to reduce the stress of the teaching, encourage students to self-study, improve teaching efficiency and facilitate teaching and management, a network teaching platform for remote education is designed and implemented. It makes the most use of OOP (Object-oriented programming) and adopts B/S architecture. It combines observer pattern and MVC pattern to implement all functions of network teaching platform based on web, including personal management, course, test, homework, statistics and Q&A modules et al.

关键词： Remote education Network education platform MVC pattern Observer pattern

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Real-Time Phonic Decipherer 2nd

Real-Time Phonic Decipherer

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2nd international conference on Deep sciences for Computing and Communications, IcondeepCom 2023

作者： Harivignesh, K.S. Kumar, N. S. Jeniss Sujihelen, L. Sivasangari, A. Department of Computer Science and Engineering Sathyabama Institute of Science and Technology Chennai India Department of Information Technology Sathyabama Institute of Science and Technology Chennai India

ISBN: (纸本)9783031689048

Language barriers have impeded effective information sharing over time. Despite the existence of over 7,000 languages, more than half of the world's population can only speak 23 languages. This has caused language difficulties for many individuals worldwide. Being aware of this information is crucial when considering a global expansion strategy and advancing in the business world. To address this issue, we have developed a paper that employs several Python packages and premium APIs to enhance translation and audio transmission efficiency. By incorporating packages such as Google Translate, GTTS, Speech Recognition, and Playsound, we have created a program that allows users to translate their language. For audio transmission, we utilized socket programming, which works similarly to an IP call. It uses the IP addresses of both users to establish a connection between them. Ultimately, by integrating these programs into one, the phone call is translated in real-time. This application can be employed to translate conversations from English to any other language and vice versa. It is intended to alleviate the language problems that exist among humans across the world. Moreover, mastering multiple languages is a gateway to expanding our cultural understanding, opening up new opportunities, and advancing personal and professional growth. In existing system there is more problem in translation from one language to many languages. This proposed system is an app which helps to translate the language in an efficient manner. This proposed work translates the voice message to other languages. The proposed work performs better when compared with the existing translators. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Gateways (computer networks)

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